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Apache Solr for Indexing Data

You're reading from   Apache Solr for Indexing Data Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Length 160 pages
Edition 1st Edition
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Author (1):
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Anshul Johri Anshul Johri
Author Profile Icon Anshul Johri
Anshul Johri
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Table of Contents (13) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Understanding Analyzers, Tokenizers, and Filters 3. Indexing Data 4. Indexing Data – The Basic Technique and Using Index Handlers 5. Indexing Data with the Help of Structured Datasources – Using DIH 6. Indexing Data Using Apache Tika 7. Apache Nutch 8. Commits, Real-Time Index Optimizations, and Atomic Updates 9. Advanced Topics – Multilanguage, Deduplication, and Others 10. Distributed Indexing 11. Case Study of Using Solr in E-Commerce Index

Inserting data into Solr

Solr provides an easy-to-use command-line tool for sending data in various formats to the Solr server. We can use the post.jar or post.sh tool to send data to the Solr server to index data. Both of these tools are located in %SOLR_HOME%/example/exampledocs in the default installation folder.

Note

To see the commands for Solr 5.x, visit the Solr Wiki (https://wiki.apache.org/solr/).

We'll copy the two files (post.sh and post.jar) to the %SOLR_HOME/bin folder. The post.sh is a Unix shell script that wraps around the cURL command to send data to the Solr server. For Windows users, Solr has provided a standalone Java application packaged in a JAR format. It can be used in a way similar to the post.sh tool.

To run post.jar, open Command Prompt in Windows and enter the following:

$ %SOLR_HOME%/bin>java –jar post.jar –h

The result obtained by executing the preceding commands is as follows:

SimplePostTool version 1.5
Usage: java [SystemProperties] -jar...
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